AI-Controlled Emergency Vehicle Lighting for Battery Power Conservation
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Solution Overview
Problem
Emergency vehicles face challenges in managing exterior lighting systems to ensure adequate illumination while minimizing power consumption, especially in electric or hybrid vehicles where battery recharge is not immediate.
Innovation Solution
An illumination control system using cameras and AI to detect the presence of personnel or objects of interest, adjusting lighting intensity and activation based on need, and incorporating sensors for environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If all exterior lights are activated to ensure effective illumination of the emergency scene, then illumination quality is improved, but power consumption increases and battery life decreases
Solution Approach 1:
The lighting system dynamically adjusts illumination levels based on real-time detection of emergency personnel and objects. The controller continuously monitors camera feeds and sensor data, then modulates light intensity accordingly - providing full illumination only when personnel or objects are detected in the region of interest, and reducing or turning off lights when the scene is clear, thus resolving the contradiction between maintaining illumination quality and reducing power consumption
Solution Approach 2:
The system implements closed-loop feedback by using cameras and sensors to detect the presence of emergency personnel and objects, then using this information to control lighting activation. The controller receives continuous feedback from detection devices and adjusts lighting states in response, ensuring lights are only activated when actually needed rather than remaining constantly on, thereby reducing power consumption while maintaining illumination quality when required
2Duration of action of stationary object
If lights remain activated until manual deactivation or voltage threshold drop, then illumination availability is improved, but battery drain increases and operational time decreases
Solution Approach 1:
The lighting system operates autonomously without requiring manual activation or deactivation by operators. The controller automatically monitors detection devices, determines when illumination is needed, and activates or deactivates lights accordingly. This self-service capability ensures continuous illumination availability when needed while preventing unnecessary battery drain during periods when the scene is clear, resolving the contradiction between illumination availability and energy loss
Solution Approach 2:
Instead of continuous operation, the lighting system employs periodic activation based on detected needs. The controller continuously monitors the scene and activates lights only during periods when emergency personnel or objects are present, then deactivates them when the scene is clear. This periodic action pattern maintains illumination availability during critical periods while significantly reducing overall battery drain compared to continuous operation
3Loss of energy
If voltage threshold deactivation is used to preserve battery life, then power conservation is improved, but response time to provide illumination deteriorates
Solution Approach 1:
The system performs preliminary detection of emergency personnel and objects using cameras and sensors before determining whether to activate lights. This preliminary action allows the controller to be ready to provide immediate illumination when needed, rather than waiting for voltage thresholds to drop. By proactively monitoring the scene and pre-positioning the system in a ready state, the invention achieves both power conservation through intelligent control and rapid response time when illumination is required
4Use of energy by moving object
If intelligent detection and control systems are implemented to optimize lighting activation, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it processes camera feeds, analyzes sensor data, detects presence of personnel and objects, determines lighting activation needs, and controls light output. By consolidating these diverse functions into a single multi-functional controller, the system achieves intelligent power management through detection and control capabilities while minimizing the increase in overall device complexity that would result from adding separate dedicated components for each function
Data Source
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AI summary
An illumination control system is configured for operative association with a vehicle lighting system of an emergency vehicle, such as a fire truck or other first responder type of vehicle. The illumination control system includes a video analysis module configured for receiving data from one or more cameras positioned on an exterior of the vehicle, and each camera has an associated region of interest (ROI) defined for a field-of-view for the camera. An artificial intelligence (AI) module is provided to detect whether a person or object of interest has entered the ROI of the camera. The control system includes an algorithm processing module programmed for executing logic associated with one or more decision-making tasks in association with the operation of the AI module. Also, a light control module can be provided for communicating instructions for activating or deactivating various scene lights of the vehicle lighting system.